RUS  ENG
Full version
JOURNALS // Matematicheskaya Biologiya i Bioinformatika // Archive

Mat. Biolog. Bioinform., 2007 Volume 2, Issue 1, Pages 160–180 (Mi mbb25)

Proceedings of The International Conference "Mathematical Biology and Bioinformatics"

Models of adaptive behavior and problem of origin of intelligence

V. G. Red'ko

Scientific Research Institute for System Studies of RAS

Abstract: An approach to the problem of evolutionary origin of intelligence is discussed; the approach is based on modeling of evolution of adaptive behavior. Works of leading laboratories in the field of simulation of adaptive behavior are characterized. A special attention is paid to reinforcement learning and adaptive critic designs. The project “Animat Brain” directed to development of a general platform for systematic designing of models of adaptive behavior is described. The results of investigation of the concrete model of evolution of self-learning agents that are based on adaptive critic designs are represented. The sketch program for future research of evolution of adaptive behavior is proposed.

Key words: adaptive behavior, problem of origin of intelligence, biological information processing systems, cognitive evolution, reinforcement learning.

UDC: 004.81:004.032.26

Received 24.05.2007, Published 07.06.2007



© Steklov Math. Inst. of RAS, 2026